Digital Marketing Data Scientist
Odesa-remote
AUTODOC
AUTODOC is a technology company with a leading e-commerce platform for vehicle parts and accessories in Europe. Founded in 2008 in Berlin, we are now 5,000 people from 68 nationalities, collaborating to make mobility easy and sustainable. By placing technology at the core of everything we do, we manage to serve customers in 27 European countries in 23 languages.
Curious minds, adventurous experts and tech-savvy professionals - one team, one billion euros revenue. Catch the ride!Job DescriptionResponsibilities
Develop statistical and machine learning models to assess and optimize the effectiveness of marketing campaigns.
Analyze and interpret data to identify potential improvements in marketing strategies.
Apply uplift modeling methods to target specific customer groups to maximize ROI.
Collaborate with marketing and sales departments to understand business goals and translate them into analytical tasks.
Prepare and present reports on analysis results and recommendations for marketing strategy enhancements.
Evaluate and continuously improve analytics and modeling methodologies in line with the latest trends in Data Science.
Participate in the development and implementation of systems and tools to automate analytical processes.
Requirements
Over 2 years of experience in Data Science, with a focus on uplift modeling and causal effect analysis.
Deep knowledge and practical experience with Python and data analysis libraries (Pandas, NumPy, Scikit-learn), as well as specialized libraries for causal analysis, for example CausalML or others.
Understanding of A/B testing principles, including planning, conducting, and analyzing test results.
Knowledge of SQL and experience with databases, including ClickHouse, for effective data extraction and processing.
Nice to have
Knowledge and experience with Apache Spark and Apache Airflow for processing large data volumes and workflow automation.
Experience with cloud platforms, particularly Google Cloud Platform, for scaling and managing analytical solutions.
Familiarity with CI/CD principles, experience with model versioning, and understanding of MLOps fundamentals.
Bachelor's or higher degree in Applied Mathematics, Statistics, Computer Science, Economics or a related field.
Strong communication skills and the ability to effectively interact with both technical specialists and business stakeholders.
Competitive salaries based on your professional experience
Fast growing international company with stable employment
Annual vacation and 1 additional day off on your birthday
Mental Wellbeing Program – the opportunity for free psychological counseling for you and your family members 24/7 hotline and online sessions
Opportunities for advancement, further trainings (over 650 courses on soft and hard skills on our e-learning platform) and coaching
Free English and German language classes - Flexible working hours and hybrid work
Join us today and let’s create a success story together!
* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰
Tags: A/B testing Airflow CI/CD Computer Science Data analysis E-commerce Economics GCP Google Cloud Machine Learning Mathematics ML models MLOps NumPy Pandas Python Scikit-learn Spark SQL Statistics Testing
Perks/benefits: Career development Flex hours Flex vacation
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